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Output: 10
If Scope Resolution Operator is placed before a variable name then the global variable is referenced. So if we remove the following line from the above program then it will fail in compilation.
int x = 10;
If Scope Resolution Operator is placed before a variable name then the global variable is referenced. So if we remove the following line from the above program then it will fail in compilation.
int x = 10;
Color power
They say the cornerstone of any powerful design comes down to colors.
On this, I found a GREAT ARTICLE on the basics that also clarifies why we use red green blue (rgb) in CS, but in painting the primary colors are red, yellow and blue.
And that cannot go without hyperlinking coolors that can easily help to generate a color pallette for your next project.
And absolute gold, 10/10 goodness is always a handy free tool from canva that not so many people heard about. The best part about it is that you can learn a lot about the theory on different color combination that you can then dynamically generate based on your primary color choice. This then can be used to create graphic from your color palette or get some inspiration from existing ones.
They say the cornerstone of any powerful design comes down to colors.
On this, I found a GREAT ARTICLE on the basics that also clarifies why we use red green blue (rgb) in CS, but in painting the primary colors are red, yellow and blue.
And that cannot go without hyperlinking coolors that can easily help to generate a color pallette for your next project.
And absolute gold, 10/10 goodness is always a handy free tool from canva that not so many people heard about. The best part about it is that you can learn a lot about the theory on different color combination that you can then dynamically generate based on your primary color choice. This then can be used to create graphic from your color palette or get some inspiration from existing ones.
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Answer: a
Explanation: .slice() function is a predefined function in JavaScript used to keep the elements from starting point and ending point mentioned in the function argument. The elements after the ending point and before the starting point are not shown.
Explanation: .slice() function is a predefined function in JavaScript used to keep the elements from starting point and ending point mentioned in the function argument. The elements after the ending point and before the starting point are not shown.
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Cheat Sheets for Data Science Interviews
Knowing the coding languages is the basis upon which all other parts of data science are built. Especially popular in the data science community is the holy trinity of coding languages:
-SQL
-Python
-R
1. SQL
The language specifically designed for querying databases, SQL is a champion when it comes to data extraction and manipulation.
Cheat sheet: SQL Basics Cheat Sheet
Link: https://learnsql.com/blog/sql-basics-cheat-sheet/
Cheat sheet: The Essential SQL Commands Cheat Sheet for Beginners
Link: https://itechbrand.com/the-essential-sql-commands-cheat-sheet-for-beginners/
This one simply lists the commands in SQL everybody needs.
Cheat sheet: SQL Cheat Sheet – Technical Concepts for the Job Interview
Link: https://www.stratascratch.com/blog/sql-cheat-sheet-technical-concepts-for-the-job-interview/
Python
Python is, for a reason, one of the most commonly used programming languages in data science.
Cheat sheet: Python Cheat Sheet
Link: https://websitesetup.org/python-cheat-sheet/
What you get: This very comprehensive yet very clear cheat sheet is perfect for anybody wanting to have a basis for starting working in Python.
Cheat sheet: Comprehensive Python Cheatsheet
Link: https://github.com/gto76/python-cheatsheet
R lang
The R programming language is a little less flexible than Python, so it’s not suitable for model deployment. It is created for statistical analysis and data visualization.
Cheat sheet: RStudio Cheatsheets
Link: https://www.rstudio.com/resources/cheatsheets/
Data Structures
Data scientists have to be familiar with data structures as a way of organizing and storing data. The chance is you won’t be using all the possible data structures all the time.
Cheat sheet: Data Structures Reference
Link: https://www.interviewcake.com/data-structures-reference
Cheat sheet: An Executable Data Structures Cheat Sheet for Interviews
Link: https://algodaily.com/lessons/an-executable-data-structures-cheat-sheet
#datascience #dsa #python #sql
@thegeeksnetwork
Knowing the coding languages is the basis upon which all other parts of data science are built. Especially popular in the data science community is the holy trinity of coding languages:
-SQL
-Python
-R
1. SQL
The language specifically designed for querying databases, SQL is a champion when it comes to data extraction and manipulation.
Cheat sheet: SQL Basics Cheat Sheet
Link: https://learnsql.com/blog/sql-basics-cheat-sheet/
Cheat sheet: The Essential SQL Commands Cheat Sheet for Beginners
Link: https://itechbrand.com/the-essential-sql-commands-cheat-sheet-for-beginners/
This one simply lists the commands in SQL everybody needs.
Cheat sheet: SQL Cheat Sheet – Technical Concepts for the Job Interview
Link: https://www.stratascratch.com/blog/sql-cheat-sheet-technical-concepts-for-the-job-interview/
Python
Python is, for a reason, one of the most commonly used programming languages in data science.
Cheat sheet: Python Cheat Sheet
Link: https://websitesetup.org/python-cheat-sheet/
What you get: This very comprehensive yet very clear cheat sheet is perfect for anybody wanting to have a basis for starting working in Python.
Cheat sheet: Comprehensive Python Cheatsheet
Link: https://github.com/gto76/python-cheatsheet
R lang
The R programming language is a little less flexible than Python, so it’s not suitable for model deployment. It is created for statistical analysis and data visualization.
Cheat sheet: RStudio Cheatsheets
Link: https://www.rstudio.com/resources/cheatsheets/
Data Structures
Data scientists have to be familiar with data structures as a way of organizing and storing data. The chance is you won’t be using all the possible data structures all the time.
Cheat sheet: Data Structures Reference
Link: https://www.interviewcake.com/data-structures-reference
Cheat sheet: An Executable Data Structures Cheat Sheet for Interviews
Link: https://algodaily.com/lessons/an-executable-data-structures-cheat-sheet
#datascience #dsa #python #sql
@thegeeksnetwork
LearnSQL.com
SQL Basics Cheat Sheet
SQL made simple: Download this beginner-friendly cheat sheet in A4, Letter, or mobile format. All the basics, syntax, and examples in one place.
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Answer: d
Explanation: For floating point literals, we have constant value to represent (10/0.0) infinity either positive or negative and also have NaN (not a number for undefined like 0/0.0), but for the integral type, we don’t have any constant that’s why we get an arithmetic exception.
Explanation: For floating point literals, we have constant value to represent (10/0.0) infinity either positive or negative and also have NaN (not a number for undefined like 0/0.0), but for the integral type, we don’t have any constant that’s why we get an arithmetic exception.